[1. Kennedy, J., R. C. Eberhart. Particle Swarm Optimization. – In: Proc. of IEEE International Conference on Neutral Networks, Perth, Australia, [s. n.], 1995, pp. 1942-1948.]Search in Google Scholar
[2. Clerc, M., J. Kennedy. The Particle Swarm-Explosion, Stability, and Convergence in a Multidimensional Complex Space. – IEEE Transactions on Evolutionary Computation, Vol. 6, 2002, No 1, pp. 58-73.10.1109/4235.985692]Search in Google Scholar
[3. Chatterjee, A., P. Siarry. Computational Intelligence in Image Processing. Berlin, Springer, 2013, pp. 57-65.10.1007/978-3-642-30621-1]Search in Google Scholar
[4. Vaisakh, K., P. Praveena, S. R. M. Rao, K. Meah. Solving Dynamic Economic Dispatch Problem with Security Constraints Using Bacterial Foraging PSO-DE Algorithm. –Electrical Power and Energy Systems, Vol. 5, 2012, No 3, pp. 56-67.10.1016/j.ijepes.2012.01.005]Search in Google Scholar
[5. Babu, M. S. P., M. Ramjee, S. S. V. N. L. Narayana, S. N. V. R. Murty. Sheep and Goat Expert System Using Artificial Bee Colony (ABC) Algorithm and Particle Swarm Optimization (PSO) Algorithm. – In: Proc. of IEEE 2nd International Conference on Software Engineering and Service Science (ICSESS), Beijing, 2011, pp. 51-54.10.1109/ICSESS.2011.5982252]Search in Google Scholar
[6. Niknam, T. An Efficient Hybrid Evolutionary Algorithm Based on PSO and HBMO Algorithms for Multi-Objective Distribution Feeder Reconfiguration. – Energy Conversion and Management, Vol. 50, 2009, pp. 2074-2082.10.1016/j.enconman.2009.03.029]Search in Google Scholar
[7. Lin, T., P. Wu, F. Gao et al. Study on SVM Temperature Compensation of Liquid Ammonia Volumetric Flowmeter Based on Variable Weight PSO. – International Journal of Heat and Technology, Vol. 33, 2015, No 2, pp. 151-156.10.18280/ijht.330224]Search in Google Scholar
[8. Piancastelli, L., L. Frizziero, G. Zanuccoli et al. Design and Heuristic Optimization of Low Temperature Differential Stirling Engine for Water Pumping. – International Journal of Heat and Technology, Vol. 31, 2013, No 1, pp. 9-16.10.18280/ijht.310207]Search in Google Scholar
[9. Wang, C. A Rapid Auto-Focus Method in the Telephoto Lens. – Review of Computer Engineer Studies, Vol. 2, 2015, No 2, pp. 13-18.10.18280/rces.020204]Search in Google Scholar
[10. Wang, T., H. Yan, S. Zhong et al. Research of Fire Alarm System Based on Extension Neural Network. – Review of Computer Engineer Studies, Vol. 2, 2015, No 1, pp. 9-14.10.18280/rces.020102]Search in Google Scholar
[11. Kundra, H., M. Sood. Cross-Country Path Finding Using Hybrid Approach of PSO and BBO. – International Journal of Computer Applications, Vol. 7, 2010, pp. 15-19.10.5120/1167-1370]Search in Google Scholar
[12. Liu, H., Y. Lin. A Hybrid Particle Swarm Optimization Based on Chaos Strategy to Handle Local Convergence. – Computer Engineering and Applications, Vol. 42, 2006, No 13, pp. 77-79.]Search in Google Scholar
[13. Yang, X.-S. Chaos-Enhanced Firefly Algorithm with Automatic Parameter Tuning. – International Journal of Swarm Intelligence Research, Vol. 2, 2011, pp. 1-11.10.4018/jsir.2011100101]Search in Google Scholar
[14. Lu, Y., X. Liu. A New Population Migration Algorithm Based on the Chaos Theory. – In: Proc. of IEEE 2nd International Symposium on Intelligence Information Processing and Trusted Computing (IPTC), Bangkok, Thailand, 2011, pp. 147-158.10.1109/IPTC.2011.44]Search in Google Scholar
[15. Lv, Z., Z. Hou. Particle Swarm Optimization with Adaptive Mutatio. – ACTA ELECTRONICA SINICA, Vol. 32, 2006, No 3, pp. 416-420.]Search in Google Scholar
[16. Lv, J., J. Lu, S. Chen. Chaotic Time Series Analysis and its Application. Wuhan, Wuhan University Press, 2002, pp. 34-35.]Search in Google Scholar
[17. Anderson, R. Industrial Cryptography. IEEE REV, 1996, pp. 118-120.10.1049/ir:19960314]Search in Google Scholar
[18. Shi, Y., R. C. Eberhart. A Modified Swarm Optimizer. – In: Proc of IEEE International Conference of Evolutionary Computation. Anchorage, Alaska: IEEE Press, 1998, pp. 73-81.]Search in Google Scholar